Open Access
| Issue |
E3S Web Conf.
Volume 684, 2026
International Conference on Engineering for a Sustainable World (ICESW 2025)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 11 | |
| Section | Sustainable Buildings and Cities | |
| DOI | https://doi.org/10.1051/e3sconf/202668401007 | |
| Published online | 07 January 2026 | |
- Shehabi Arman, Smith Sarah, Masanet Eric, & Koomey Jonathan. (2018). Data centre growth in the United States: Decoupling the demand for services from electricity use. Environmental Research Letters. 13. 10.1088/1748-9326/aaec9c. [Google Scholar]
- Sadrehaghighi, Ideen. (2022). Cooling Data Centers. 10.13140/RG.2.2.14622.82245/1 [Google Scholar]
- IEA. (2025) Global Energy Review 2025, Electricity. IEA. Accessed on 14th September 2025, 2:00pm, https:/www.iea.org/reports/global-energy-review-2025/electricity [Google Scholar]
- Masanet Eric, Shehabi Arman, Lei Nuoa, Smith Sarah, & Koomey Jonathan. (2020). Recalibrating global data centre energy-use estimates. Science. 367.984–986. 10.1126/science.aba3758. [Google Scholar]
- Chen Xin, Wang Xiaoyang, Colacelli Ana, Lee Matt, & Xie Le. (2025). Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects. 10.48550/arXiv.2509.07218. [Google Scholar]
- Yanez-Barnuevo, M. (2025) Data centres and water consumption. Environmental and Energy Study Institute (EESI). Accessed on 16th September 2025, 1:00pm, https:/www.eesi.org/articles/view/data-centres-and-water-consumption. [Google Scholar]
- Cai, Senhong & Gou, Zhonghua. (2024). Towards Energy-Eficient Data Centres: A Comprehensive Review of Passive and Active Cooling Strategies. Energy and Built Environment. 10.1016/j.enbenv.2024.08.009. [Google Scholar]
- Horner, Nathaniel & Azevedo, Inês. (2016). Power usage effectiveness in data centres: Overloaded and underachieving. The Electricity Journal. 29. 61–69. 10.1016/j.tej.2016.04.011. [Google Scholar]
- Klusas, D. (2015) Selecting the right economizer. Vertiv. Accessed on 17th September 2025, 8:00pm, https://www.vertiv.com/en-us/about/news-and-insights/articles/blog-posts/selecting-the-right-economizer/#:~:text=Data%20centres%20have%20made%20cutting,selecting%20these%20large%2C%20expensive%20systems [Google Scholar]
- Xiao, T., Nerini, F.F. & Matthews, H.D. (2025). Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA. Nat Sustain 8, 1541–1553. https:/doi.org/10.1038/s41893-025-01681-y [Google Scholar]
- Apoorv Lal, & Fengqi You. (2025). Advances and challenges in energy and climate alignment of AI infrastructure expansion. Advances in Applied Energy, Volume 20, 2025, 100243, ISSN 2666-7924, https:/doi.org/10.1016/j.adapen.2025.100243. [Google Scholar]
- Van Geet (2017) A method for estimating potential energy and cost savings for cooling existing data centres. National Renewable Energy Laboratory. Accessed on 20th September 2025, 1:00pm, https:/docs.nrel.gov/docs/fy17osti/68218.pdf [Google Scholar]
- Liberati Alessandro, Altman Douglas, Tetzlaf Jennifer, Mulrow Cynthia, Gotzsche Peter, Ioannidis John, Clarke Mike, Devereaux Paul, Kleijnen Joseph, & Moher David. (2009). The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration. Journal of clinical epidemiology. 62. e1-34. 10.1016/j.jclinepi.2009.06.006. [Google Scholar]
- Murad M. Hassan, Wang Zhen, Chu Haitao & Lin Lifeng. (2019). When continuous outcomes are measured using diferent scales: Guide for meta-analysis and interpretation. BMJ. 364. k4817. 10.1136/bmj.k4817. [Google Scholar]
- Haghshenas, K., Setz, B., Blosch, Y. (2023). Enough Hot Air: The Role of Immersion Cooling. Energy Inform 6( 14) https:/doi.org/10.1186/s42162-023-00269-0 [Google Scholar]
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